STUDY OBJECTIVES: Peripheral arterial tonometry (PAT)-based technology represents a validated portable monitoring modality for the diagnosis of OSA. We assessed the diagnostic accuracy of PAT-based technology in a large point-of-care cohort of patients studied with concurrent polysomnography (PSG). METHODS: During study enrollment, all participants suspected to have OSA and tested by in-laboratory PSG underwent concurrent PAT device recordings. RESULTS: Five hundred concomitant PSG and WatchPat tests were analyzed. Median (interquartile range) PSG AHI was 18 (8-37) events/h and PAT AHI3% was 25 (12-46) events/h. Average bias was + 4 events/h. Diagnostic concordance was found in 42%, 41%, and 83% of mild, moderate, and severe OSA, respectively (accuracy = 53%). Among patients with PAT diagnoses of moderate or severe OSA, 5% did not have OSA and 19% had mild OSA; in those with mild OSA, PSG showed moderate or severe disease in 20% and no OSA in 30% of patients (accuracy = 69%). On average, using a 3% desaturation threshold, WatchPat overestimated disease prevalence and severity (mean + 4 events/h) and the 4% threshold underestimated disease prevalence and severity by -6 events/h. CONCLUSIONS: Although there was an overall tendency to overestimate the severity of OSA, a significant percentage of patients had clinically relevant misclassifications. As such, we recommend that patients without OSA or with mild disease assessed by PAT undergo repeat in-laboratory PSG. Optimized clinical pathways are urgently needed to minimize therapeutic decisions instituted in the presence of diagnostic uncertainty.
STUDY OBJECTIVES: Peripheral arterial tonometry (PAT)-based technology represents a validated portable monitoring modality for the diagnosis of OSA. We assessed the diagnostic accuracy of PAT-based technology in a large point-of-care cohort of patients studied with concurrent polysomnography (PSG). METHODS: During study enrollment, all participants suspected to have OSA and tested by in-laboratory PSG underwent concurrent PAT device recordings. RESULTS: Five hundred concomitant PSG and WatchPat tests were analyzed. Median (interquartile range) PSG AHI was 18 (8-37) events/h and PAT AHI3% was 25 (12-46) events/h. Average bias was + 4 events/h. Diagnostic concordance was found in 42%, 41%, and 83% of mild, moderate, and severe OSA, respectively (accuracy = 53%). Among patients with PAT diagnoses of moderate or severe OSA, 5% did not have OSA and 19% had mild OSA; in those with mild OSA, PSG showed moderate or severe disease in 20% and no OSA in 30% of patients (accuracy = 69%). On average, using a 3% desaturation threshold, WatchPat overestimated disease prevalence and severity (mean + 4 events/h) and the 4% threshold underestimated disease prevalence and severity by -6 events/h. CONCLUSIONS: Although there was an overall tendency to overestimate the severity of OSA, a significant percentage of patients had clinically relevant misclassifications. As such, we recommend that patients without OSA or with mild disease assessed by PAT undergo repeat in-laboratory PSG. Optimized clinical pathways are urgently needed to minimize therapeutic decisions instituted in the presence of diagnostic uncertainty.
Authors: Nancy A Collop; Sharon L Tracy; Vishesh Kapur; Reena Mehra; David Kuhlmann; Sam A Fleishman; Joseph M Ojile Journal: J Clin Sleep Med Date: 2011-10-15 Impact factor: 4.062
Authors: Adam V Benjafield; Najib T Ayas; Peter R Eastwood; Raphael Heinzer; Mary S M Ip; Mary J Morrell; Carlos M Nunez; Sanjay R Patel; Thomas Penzel; Jean-Louis Pépin; Paul E Peppard; Sanjeev Sinha; Sergio Tufik; Kate Valentine; Atul Malhotra Journal: Lancet Respir Med Date: 2019-07-09 Impact factor: 30.700
Authors: Clete A Kushida; Michael R Littner; Timothy Morgenthaler; Cathy A Alessi; Dennis Bailey; Jack Coleman; Leah Friedman; Max Hirshkowitz; Sheldon Kapen; Milton Kramer; Teofilo Lee-Chiong; Daniel L Loube; Judith Owens; Jeffrey P Pancer; Merrill Wise Journal: Sleep Date: 2005-04 Impact factor: 5.849
Authors: Cathy A Goldstein; Richard B Berry; David T Kent; David A Kristo; Azizi A Seixas; Susan Redline; M Brandon Westover; Fariha Abbasi-Feinberg; R Nisha Aurora; Kelly A Carden; Douglas B Kirsch; Raman K Malhotra; Jennifer L Martin; Eric J Olson; Kannan Ramar; Carol L Rosen; James A Rowley; Anita V Shelgikar Journal: J Clin Sleep Med Date: 2020-04-15 Impact factor: 4.062
Authors: Sreeya Yalamanchali; Viken Farajian; Craig Hamilton; Thomas R Pott; Christian G Samuelson; Michael Friedman Journal: JAMA Otolaryngol Head Neck Surg Date: 2013-12 Impact factor: 6.223
Authors: Li Weimin; Wang Rongguang; Huang Dongyan; Liu Xiaoli; Jin Wei; Yang Shiming Journal: Eur Arch Otorhinolaryngol Date: 2013-05-25 Impact factor: 2.503
Authors: Brian M O'Reilly; Qing Wang; Jacob Collen; Panagiotis Matsangas; Christopher J Colombo; Vincent Mysliwiec Journal: J Clin Sleep Med Date: 2022-06-01 Impact factor: 4.324
Authors: Imran H Iftikhar; Christina E Finch; Amit S Shah; Cheryl A Augunstein; Octavian C Ioachimescu Journal: J Clin Sleep Med Date: 2022-04-01 Impact factor: 4.062